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Quality control is one of the three cyclical quality assurance activities that help keep a system under statistical control. Typical quality control activities include creating quality control charts, conducting proficiency testing, and documenting and archiving results.
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Repeat patient testing quality control (RPT-QC): Background and theory.

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Repeat-patient testing quality control (RPT-QC) offers advantages over conventional statistical quality control (SQC) by using patient samples. This method provides better commutability and cost-effectiveness for laboratory testing.

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Area of Science:

  • Clinical Chemistry
  • Laboratory Medicine
  • Quality Control

Background:

  • Conventional statistical quality control (SQC) relies on stable, commercial control materials.
  • This approach may not accurately reflect real-world testing conditions due to lot variability and lack of commutability.
  • Repeat-patient testing quality control (RPT-QC) utilizes individual patient samples for quality assessment.

Purpose of the Study:

  • To compare and contrast the principles and procedures of RPT-QC with conventional SQC.
  • To provide an overview of RPT-QC control limit establishment.

Main Methods:

  • Review of existing literature on RPT-QC and conventional SQC.
  • Analysis of the theoretical advantages and practical challenges of each method.
  • Discussion of control limit setting strategies for RPT-QC.

Main Results:

  • RPT-QC offers improved commutability, lower costs, and quality control at clinically relevant concentrations.
  • Patient samples in RPT-QC are exploited for their inherent variability under controlled storage.
  • Challenges for RPT-QC include sample procurement and establishing appropriate control limits.

Conclusions:

  • RPT-QC presents a viable alternative to conventional SQC, enhancing the accuracy and relevance of laboratory quality control.
  • Further research into RPT-QC control limit establishment is warranted.
  • RPT-QC can lead to more cost-effective and clinically meaningful quality assurance in diagnostic testing.